ContextEngine MCP Server
A Model Context Protocol (MCP) server that provides an interface to the ContextEngine system - a comprehensive Documentation Driven Development (DDD) methodology. This MCP server enables AI assistants to access ContextEngine's structured workflows, context management tools, and knowledge graph system for documentation-first development processes, eliminating repetitive context provision and ensuring code generation follows documented requirements.
🚀 What is ContextEngine?
ContextEngine is an MCP server that implements a comprehensive Documentation Driven Development (DDD) system. It provides structured workflows, context management, and tools that enable AI assistants and humans to collaborate effectively through documentation-first development methodologies.
Core Philosophy
ContextEngine addresses the fundamental challenges of AI-human collaboration in software development:
- Context Management: Eliminates repetitive context provision by creating persistent documentation repositories
- Quality Assurance: Ensures code generation follows documented requirements and specifications
- Scalability: Handles 3x to 30x more information per person than traditional development methods
- Business Alignment: Maintains clear connection between technical implementation and business value
Features
- Documentation-Driven Workflows: 9 standardized workflows for different development activities
- Context Engineering: Dynamic context composition and provision through knowledge graph
- Structured Documentation: Plan and task documents with hierarchical organization
- Local Documentation Setup: Automatic creation of organized folder structure and configuration files
- TypeScript: Full type safety and modern development experience
- Authentication: Built-in support for API keys and authentication
- Comprehensive Logging: Structured logging with proper MCP compatibility
🛠️ Installation
Requirements
- Node.js >= v18.0.0
- Cursor, Claude Code, VSCode, Windsurf or another MCP Client
Connecting to MCP Clients
"mcp": {
"servers": {
"context-engine": {
"type": "stdio",
"command": "npx",
"args": ["-y", "context-engine", "--api-key", "YOUR_API_KEY"]
}
}
}
🔨 Available Tools
ContextEngine provides tools for DDD workflow execution:
1. start_context_engine
Starts the ContextEngine system and automatically sets up the local documentation structure. This tool:
- Initializes the ContextEngine via API call to establish system awareness
- Creates local documentation structure with organized folders for DDD workflows
- Sets up configuration files with default settings and workflow definitions
- Provides comprehensive feedback about both remote and local setup status
The tool creates a .context-engine directory structure:
.context-engine/
├── implementation/ # For completed documentation and implementations
├── requirements/ # For requirements and specifications
└── config/ # For configuration files
├── settings.json # ContextEngine settings
└── workflows.json # Workflow configurations
Response Format: Returns a combined status showing both API response and local setup results with clear emoji indicators:
- 📁 Success: Documentation structure setup completed
- ⚠️ Warning: Setup completed with issues
- ❌ Error: Setup failed (but API call succeeded)
CLI Arguments
Your MCP server accepts the following CLI flags:
--transport <stdio|http>– Transport to use (stdioby default)--port <number>– Port to listen on when usinghttptransport (default3000)--api-key <key>– API key for authentication (if needed)--server-url <url>– Custom server URL (defaults to https://contextengine.in)
📚 Usage
-
Start ContextEngine: Use the
start_context_enginetool to initialize the DDD system and set up local documentation structure and local documentation setup results -
Select Workflow: Choose from 9 available workflows based on your development objective
-
Execute Workflow: Follow the structured workflow phases to complete your development task
-
Integrate with AI assistants: Connect to Cursor, VS Code, Claude Code, etc.
📄 License
MIT